{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/hongshen/Library/CloudStorage/OneDrive-LingnanUniversity/Documents/Tenure-Track/Working Paper/Propaganda Experiment/Replication/log.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 2 Feb 2025, 19:42:09

{com}. do /var/folders/79/d_7y0mms2b1_zwcqxmxrmv440000gn/Tselectedlines_piupiu.do
{txt}
{com}. 
. use "Propaganda_Experiment_working.dta", clear
{txt}
{com}. global cov Gender Education Income PartyMember Pol_Interest Social_Media Pro_Market_Ideology
{txt}
{com}. 
. 
. // Table C1: Treatment Effects on COVID Policy Support
. 
. eststo clear
{txt}
{com}. set more off
{txt}
{com}. local vlist COVID_Policy_Support COVID_Preference_pc
{txt}
{com}. local wd=wordcount("`vlist'")
{txt}
{com}. forv i=1/`wd'{c -(}
{txt}  2{com}. local dv: word `i' of `vlist'
{txt}  3{com}. 
. eststo m`i'_1: reg `dv' hard if control + hard == 1
{txt}  4{com}. eststo m`i'_2: reg `dv' hard_hard if control + hard_hard == 1
{txt}  5{com}. eststo m`i'_3: reg `dv' soft if control + soft == 1
{txt}  6{com}. eststo m`i'_4: reg `dv' soft_soft if control + soft_soft == 1
{txt}  7{com}. {c )-}

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,208
{txt}{hline 13}{c +}{hline 34}   F(1, 1206)      = {res}     0.52
{txt}       Model {c |} {res} .858419531         1  .858419531   {txt}Prob > F        ={res}    0.4692
{txt}    Residual {c |} {res} 1974.82039     1,206  1.63749618   {txt}R-squared       ={res}    0.0004
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}   -0.0004
{txt}       Total {c |} {res} 1975.67881     1,207  1.63685071   {txt}Root MSE        =   {res} 1.2796

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}COVID_Poli~t{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}hard {c |}{col 14}{res}{space 2}-.0533147{col 26}{space 2} .0736355{col 37}{space 1}   -0.72{col 46}{space 3}0.469{col 54}{space 4}-.1977826{col 67}{space 3} .0911532
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 5.127695{col 26}{space 2} .0521113{col 37}{space 1}   98.40{col 46}{space 3}0.000{col 54}{space 4} 5.025456{col 67}{space 3} 5.229934
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,208
{txt}{hline 13}{c +}{hline 34}   F(1, 1206)      = {res}     0.42
{txt}       Model {c |} {res}  .70616596         1   .70616596   {txt}Prob > F        ={res}    0.5160
{txt}    Residual {c |} {res} 2017.35923     1,206  1.67276885   {txt}R-squared       ={res}    0.0003
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}   -0.0005
{txt}       Total {c |} {res}  2018.0654     1,207  1.67196802   {txt}Root MSE        =   {res} 1.2934

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}COVID_Poli~t{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}hard_hard {c |}{col 14}{res}{space 2} -.048356{col 26}{space 2} .0744244{col 37}{space 1}   -0.65{col 46}{space 3}0.516{col 54}{space 4}-.1943716{col 67}{space 3} .0976596
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 5.127695{col 26}{space 2} .0526695{col 37}{space 1}   97.36{col 46}{space 3}0.000{col 54}{space 4} 5.024361{col 67}{space 3} 5.231029
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,214
{txt}{hline 13}{c +}{hline 34}   F(1, 1212)      = {res}     1.44
{txt}       Model {c |} {res}  2.5513368         1   2.5513368   {txt}Prob > F        ={res}    0.2300
{txt}    Residual {c |} {res} 2144.37535     1,212  1.76928659   {txt}R-squared       ={res}    0.0012
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0004
{txt}       Total {c |} {res} 2146.92669     1,213  1.76993132   {txt}Root MSE        =   {res} 1.3301

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}COVID_Poli~t{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}soft {c |}{col 14}{res}{space 2}-.0916883{col 26}{space 2} .0763535{col 37}{space 1}   -1.20{col 46}{space 3}0.230{col 54}{space 4}-.2414881{col 67}{space 3} .0581115
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 5.127695{col 26}{space 2} .0541677{col 37}{space 1}   94.66{col 46}{space 3}0.000{col 54}{space 4} 5.021422{col 67}{space 3} 5.233968
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,196
{txt}{hline 13}{c +}{hline 34}   F(1, 1194)      = {res}     4.90
{txt}       Model {c |} {res} 7.95410679         1  7.95410679   {txt}Prob > F        ={res}    0.0270
{txt}    Residual {c |} {res} 1937.42382     1,194  1.62263301   {txt}R-squared       ={res}    0.0041
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0033
{txt}       Total {c |} {res} 1945.37793     1,195  1.62793132   {txt}Root MSE        =   {res} 1.2738

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}COVID_Poli~t{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}soft_soft {c |}{col 14}{res}{space 2} -.163108{col 26}{space 2} .0736698{col 37}{space 1}   -2.21{col 46}{space 3}0.027{col 54}{space 4}-.3076448{col 67}{space 3}-.0185713
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 5.127695{col 26}{space 2} .0518742{col 37}{space 1}   98.85{col 46}{space 3}0.000{col 54}{space 4}  5.02592{col 67}{space 3}  5.22947
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,192
{txt}{hline 13}{c +}{hline 34}   F(1, 1190)      = {res}     4.67
{txt}       Model {c |} {res} 8.15402919         1  8.15402919   {txt}Prob > F        ={res}    0.0308
{txt}    Residual {c |} {res} 2076.71624     1,190   1.7451397   {txt}R-squared       ={res}    0.0039
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0031
{txt}       Total {c |} {res} 2084.87027     1,191   1.7505208   {txt}Root MSE        =   {res}  1.321

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}COVID_Pref~c{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}hard {c |}{col 14}{res}{space 2} .1654162{col 26}{space 2} .0765256{col 37}{space 1}    2.16{col 46}{space 3}0.031{col 54}{space 4}  .015276{col 67}{space 3} .3155564
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.1288657{col 26}{space 2} .0541118{col 37}{space 1}   -2.38{col 46}{space 3}0.017{col 54}{space 4}-.2350308{col 67}{space 3}-.0227005
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,193
{txt}{hline 13}{c +}{hline 34}   F(1, 1191)      = {res}     3.12
{txt}       Model {c |} {res} 5.66958316         1  5.66958316   {txt}Prob > F        ={res}    0.0776
{txt}    Residual {c |} {res} 2164.89582     1,191  1.81771269   {txt}R-squared       ={res}    0.0026
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0018
{txt}       Total {c |} {res}  2170.5654     1,192  1.82094413   {txt}Root MSE        =   {res} 1.3482

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}COVID_Pref~c{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}hard_hard {c |}{col 14}{res}{space 2}  .137875{col 26}{space 2} .0780679{col 37}{space 1}    1.77{col 46}{space 3}0.078{col 54}{space 4} -.015291{col 67}{space 3} .2910409
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.1288657{col 26}{space 2} .0552255{col 37}{space 1}   -2.33{col 46}{space 3}0.020{col 54}{space 4}-.2372157{col 67}{space 3}-.0205156
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,204
{txt}{hline 13}{c +}{hline 34}   F(1, 1202)      = {res}    10.52
{txt}       Model {c |} {res} 18.1378507         1  18.1378507   {txt}Prob > F        ={res}    0.0012
{txt}    Residual {c |} {res} 2072.28732     1,202  1.72403272   {txt}R-squared       ={res}    0.0087
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0079
{txt}       Total {c |} {res} 2090.42517     1,203  1.73767679   {txt}Root MSE        =   {res}  1.313

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}COVID_Pref~c{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}soft {c |}{col 14}{res}{space 2} .2454885{col 26}{space 2} .0756852{col 37}{space 1}    3.24{col 46}{space 3}0.001{col 54}{space 4} .0969987{col 67}{space 3} .3939784
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.1288657{col 26}{space 2} .0537836{col 37}{space 1}   -2.40{col 46}{space 3}0.017{col 54}{space 4}-.2343858{col 67}{space 3}-.0233455
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,188
{txt}{hline 13}{c +}{hline 34}   F(1, 1186)      = {res}     1.33
{txt}       Model {c |} {res} 2.56564823         1  2.56564823   {txt}Prob > F        ={res}    0.2484
{txt}    Residual {c |} {res} 2281.68809     1,186  1.92385168   {txt}R-squared       ={res}    0.0011
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0003
{txt}       Total {c |} {res} 2284.25374     1,187  1.92439236   {txt}Root MSE        =   {res}  1.387

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}COVID_Pref~c{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}soft_soft {c |}{col 14}{res}{space 2} .0929443{col 26}{space 2} .0804841{col 37}{space 1}    1.15{col 46}{space 3}0.248{col 54}{space 4}-.0649628{col 67}{space 3} .2508514
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.1288657{col 26}{space 2}  .056815{col 37}{space 1}   -2.27{col 46}{space 3}0.023{col 54}{space 4}-.2403347{col 67}{space 3}-.0173966
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. esttab using TableC1.tex, se(3) b(3) r2(3)label star(* 0.05) ///
> keep (_cons hard hard_hard soft soft_soft) varlabel(_cons "Constant" hard "Hard" hard_hard "Two-sided Hard" soft "Soft" soft_soft "Two-sided Soft") ///
> eqlabel(none) nomtitles mgroups("Policy Support" "Prefer Reopen", pattern(1 1)) replace
{res}{txt}{p 0 4 2}
(file {bf}
TableC1.tex{rm}
not found)
{p_end}
(output written to {browse  `"TableC1.tex"'})

{com}. 
. // Table C2: Treatment Effects on COVID Policy Support with Controls
. 
. eststo clear
{txt}
{com}. set more off
{txt}
{com}. local vlist COVID_Policy_Support COVID_Preference_pc
{txt}
{com}. local wd=wordcount("`vlist'")
{txt}
{com}. forv i=1/`wd'{c -(}
{txt}  2{com}. local dv: word `i' of `vlist'
{txt}  3{com}. eststo m`i'_1: reghdfe `dv' hard $cov if control + hard == 1, ab(Region Age_Group)
{txt}  4{com}. estadd local reg "Yes"
{txt}  5{com}. estadd local age "Yes"
{txt}  6{com}. eststo m`i'_2: reghdfe `dv' hard_hard $cov if control + hard_hard == 1, ab(Region Age_Group)
{txt}  7{com}. estadd local reg "Yes"
{txt}  8{com}. estadd local age "Yes"
{txt}  9{com}. eststo m`i'_3: reghdfe `dv' soft $cov if control + soft == 1, ab(Region Age_Group)
{txt} 10{com}. estadd local reg "Yes"
{txt} 11{com}. estadd local age "Yes"
{txt} 12{com}. eststo m`i'_4: reghdfe `dv' soft_soft $cov if control + soft_soft == 1, ab(Region Age_Group)
{txt} 13{com}. estadd local reg "Yes"
{txt} 14{com}. estadd local age "Yes"
{txt} 15{com}. {c )-}
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 5 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}     1,164
{txt}Absorbing 2 HDFE groups{col 51}F({res}   8{txt},{res}   1145{txt}){col 67}= {res}      2.91
{txt}{col 51}Prob > F{col 67}= {res}    0.0032
{txt}{col 51}R-squared{col 67}= {res}    0.0307
{txt}{col 51}Adj R-squared{col 67}= {res}    0.0154
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0199
{txt}{col 51}Root MSE{col 67}= {res}    1.2676

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}COVID_Policy_Supp~t{col 21}{c |} Coefficient{col 33}  Std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}hard {c |}{col 21}{res}{space 2}-.0298219{col 33}{space 2} .0746539{col 44}{space 1}   -0.40{col 53}{space 3}0.690{col 61}{space 4}-.1762956{col 74}{space 3} .1166518
{txt}{space 13}Gender {c |}{col 21}{res}{space 2}-.0028457{col 33}{space 2} .0777186{col 44}{space 1}   -0.04{col 53}{space 3}0.971{col 61}{space 4}-.1553326{col 74}{space 3} .1496411
{txt}{space 10}Education {c |}{col 21}{res}{space 2}-.0533369{col 33}{space 2} .0591599{col 44}{space 1}   -0.90{col 53}{space 3}0.367{col 61}{space 4}-.1694108{col 74}{space 3}  .062737
{txt}{space 13}Income {c |}{col 21}{res}{space 2} .0948103{col 33}{space 2} .0442342{col 44}{space 1}    2.14{col 53}{space 3}0.032{col 61}{space 4} .0080211{col 74}{space 3} .1815995
{txt}{space 8}PartyMember {c |}{col 21}{res}{space 2}-.1660501{col 33}{space 2} .1158954{col 44}{space 1}   -1.43{col 53}{space 3}0.152{col 61}{space 4}-.3934413{col 74}{space 3}  .061341
{txt}{space 7}Pol_Interest {c |}{col 21}{res}{space 2} .0710457{col 33}{space 2} .0355059{col 44}{space 1}    2.00{col 53}{space 3}0.046{col 61}{space 4} .0013818{col 74}{space 3} .1407097
{txt}{space 7}Social_Media {c |}{col 21}{res}{space 2}-.0577609{col 33}{space 2} .0411827{col 44}{space 1}   -1.40{col 53}{space 3}0.161{col 61}{space 4}-.1385628{col 74}{space 3} .0230411
{txt}Pro_Market_Ideology {c |}{col 21}{res}{space 2}-.1110163{col 33}{space 2} .0406057{col 44}{space 1}   -2.73{col 53}{space 3}0.006{col 61}{space 4}-.1906863{col 74}{space 3}-.0313464
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} 5.177385{col 33}{space 2} .3044921{col 44}{space 1}   17.00{col 53}{space 3}0.000{col 61}{space 4}  4.57996{col 74}{space 3} 5.774811
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}      Region{col 14}{c |}{space 1}        4{col 27}{space 1}        0{col 39}{result}{space 1}        4{col 53}{text} {col 54}{c |}
{res}{col 1}{text}   Age_Group{col 14}{c |}{space 1}        8{col 27}{space 1}        1{col 39}{result}{space 1}        7{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}
{txt}added macro:
                e(reg) : "{res:Yes}"

added macro:
                e(age) : "{res:Yes}"
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 5 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}     1,162
{txt}Absorbing 2 HDFE groups{col 51}F({res}   8{txt},{res}   1143{txt}){col 67}= {res}      3.22
{txt}{col 51}Prob > F{col 67}= {res}    0.0012
{txt}{col 51}R-squared{col 67}= {res}    0.0273
{txt}{col 51}Adj R-squared{col 67}= {res}    0.0119
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0221
{txt}{col 51}Root MSE{col 67}= {res}    1.2828

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}COVID_Policy_Supp~t{col 21}{c |} Coefficient{col 33}  Std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}hard_hard {c |}{col 21}{res}{space 2}-.0112664{col 33}{space 2} .0762442{col 44}{space 1}   -0.15{col 53}{space 3}0.883{col 61}{space 4}-.1608607{col 74}{space 3} .1383279
{txt}{space 13}Gender {c |}{col 21}{res}{space 2} .0571571{col 33}{space 2} .0786816{col 44}{space 1}    0.73{col 53}{space 3}0.468{col 61}{space 4}-.0972194{col 74}{space 3} .2115337
{txt}{space 10}Education {c |}{col 21}{res}{space 2}-.0720752{col 33}{space 2} .0621281{col 44}{space 1}   -1.16{col 53}{space 3}0.246{col 61}{space 4} -.193973{col 74}{space 3} .0498227
{txt}{space 13}Income {c |}{col 21}{res}{space 2} .1139482{col 33}{space 2} .0438142{col 44}{space 1}    2.60{col 53}{space 3}0.009{col 61}{space 4} .0279829{col 74}{space 3} .1999136
{txt}{space 8}PartyMember {c |}{col 21}{res}{space 2} -.205978{col 33}{space 2} .1171524{col 44}{space 1}   -1.76{col 53}{space 3}0.079{col 61}{space 4}-.4358358{col 74}{space 3} .0238798
{txt}{space 7}Pol_Interest {c |}{col 21}{res}{space 2} .0679617{col 33}{space 2}  .036716{col 44}{space 1}    1.85{col 53}{space 3}0.064{col 61}{space 4}-.0040766{col 74}{space 3}      .14
{txt}{space 7}Social_Media {c |}{col 21}{res}{space 2}-.0079562{col 33}{space 2} .0425944{col 44}{space 1}   -0.19{col 53}{space 3}0.852{col 61}{space 4}-.0915283{col 74}{space 3} .0756158
{txt}Pro_Market_Ideology {c |}{col 21}{res}{space 2}-.1119443{col 33}{space 2} .0415352{col 44}{space 1}   -2.70{col 53}{space 3}0.007{col 61}{space 4} -.193438{col 74}{space 3}-.0304505
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} 4.923804{col 33}{space 2}  .318803{col 44}{space 1}   15.44{col 53}{space 3}0.000{col 61}{space 4} 4.298299{col 74}{space 3} 5.549308
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}      Region{col 14}{c |}{space 1}        4{col 27}{space 1}        0{col 39}{result}{space 1}        4{col 53}{text} {col 54}{c |}
{res}{col 1}{text}   Age_Group{col 14}{c |}{space 1}        8{col 27}{space 1}        1{col 39}{result}{space 1}        7{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}
{txt}added macro:
                e(reg) : "{res:Yes}"

added macro:
                e(age) : "{res:Yes}"
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 5 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}     1,168
{txt}Absorbing 2 HDFE groups{col 51}F({res}   8{txt},{res}   1149{txt}){col 67}= {res}      3.65
{txt}{col 51}Prob > F{col 67}= {res}    0.0003
{txt}{col 51}R-squared{col 67}= {res}    0.0344
{txt}{col 51}Adj R-squared{col 67}= {res}    0.0193
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0248
{txt}{col 51}Root MSE{col 67}= {res}    1.3131

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}COVID_Policy_Supp~t{col 21}{c |} Coefficient{col 33}  Std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}soft {c |}{col 21}{res}{space 2}-.0609573{col 33}{space 2} .0772882{col 44}{space 1}   -0.79{col 53}{space 3}0.430{col 61}{space 4}-.2125991{col 74}{space 3} .0906845
{txt}{space 13}Gender {c |}{col 21}{res}{space 2} .2103021{col 33}{space 2} .0813316{col 44}{space 1}    2.59{col 53}{space 3}0.010{col 61}{space 4}  .050727{col 74}{space 3} .3698773
{txt}{space 10}Education {c |}{col 21}{res}{space 2}-.0175758{col 33}{space 2} .0608552{col 44}{space 1}   -0.29{col 53}{space 3}0.773{col 61}{space 4}-.1369756{col 74}{space 3} .1018241
{txt}{space 13}Income {c |}{col 21}{res}{space 2}  .059547{col 33}{space 2} .0455693{col 44}{space 1}    1.31{col 53}{space 3}0.192{col 61}{space 4}-.0298614{col 74}{space 3} .1489555
{txt}{space 8}PartyMember {c |}{col 21}{res}{space 2}-.0858843{col 33}{space 2} .1226906{col 44}{space 1}   -0.70{col 53}{space 3}0.484{col 61}{space 4}-.3266071{col 74}{space 3} .1548384
{txt}{space 7}Pol_Interest {c |}{col 21}{res}{space 2} .0962006{col 33}{space 2} .0360106{col 44}{space 1}    2.67{col 53}{space 3}0.008{col 61}{space 4} .0255468{col 74}{space 3} .1668545
{txt}{space 7}Social_Media {c |}{col 21}{res}{space 2}-.0067464{col 33}{space 2} .0424218{col 44}{space 1}   -0.16{col 53}{space 3}0.874{col 61}{space 4}-.0899792{col 74}{space 3} .0764864
{txt}Pro_Market_Ideology {c |}{col 21}{res}{space 2}-.1234669{col 33}{space 2} .0421547{col 44}{space 1}   -2.93{col 53}{space 3}0.003{col 61}{space 4}-.2061757{col 74}{space 3}-.0407581
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} 4.594233{col 33}{space 2} .3048268{col 44}{space 1}   15.07{col 53}{space 3}0.000{col 61}{space 4} 3.996154{col 74}{space 3} 5.192313
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}      Region{col 14}{c |}{space 1}        4{col 27}{space 1}        0{col 39}{result}{space 1}        4{col 53}{text} {col 54}{c |}
{res}{col 1}{text}   Age_Group{col 14}{c |}{space 1}        8{col 27}{space 1}        1{col 39}{result}{space 1}        7{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}
{txt}added macro:
                e(reg) : "{res:Yes}"

added macro:
                e(age) : "{res:Yes}"
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 5 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}     1,159
{txt}Absorbing 2 HDFE groups{col 51}F({res}   8{txt},{res}   1140{txt}){col 67}= {res}      4.97
{txt}{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.0392
{txt}{col 51}Adj R-squared{col 67}= {res}    0.0240
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0337
{txt}{col 51}Root MSE{col 67}= {res}    1.2561

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}COVID_Policy_Supp~t{col 21}{c |} Coefficient{col 33}  Std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}soft_soft {c |}{col 21}{res}{space 2}  -.14402{col 33}{space 2} .0744267{col 44}{space 1}   -1.94{col 53}{space 3}0.053{col 61}{space 4}-.2900487{col 74}{space 3} .0020087
{txt}{space 13}Gender {c |}{col 21}{res}{space 2} .0921891{col 33}{space 2} .0773441{col 44}{space 1}    1.19{col 53}{space 3}0.234{col 61}{space 4}-.0595637{col 74}{space 3} .2439418
{txt}{space 10}Education {c |}{col 21}{res}{space 2}-.0248353{col 33}{space 2} .0615914{col 44}{space 1}   -0.40{col 53}{space 3}0.687{col 61}{space 4}-.1456804{col 74}{space 3} .0960098
{txt}{space 13}Income {c |}{col 21}{res}{space 2} .0903895{col 33}{space 2} .0436153{col 44}{space 1}    2.07{col 53}{space 3}0.038{col 61}{space 4} .0048143{col 74}{space 3} .1759647
{txt}{space 8}PartyMember {c |}{col 21}{res}{space 2}-.2801677{col 33}{space 2} .1169362{col 44}{space 1}   -2.40{col 53}{space 3}0.017{col 61}{space 4}-.5096021{col 74}{space 3}-.0507332
{txt}{space 7}Pol_Interest {c |}{col 21}{res}{space 2} .0715332{col 33}{space 2} .0346146{col 44}{space 1}    2.07{col 53}{space 3}0.039{col 61}{space 4} .0036177{col 74}{space 3} .1394487
{txt}{space 7}Social_Media {c |}{col 21}{res}{space 2}-.0148877{col 33}{space 2} .0405266{col 44}{space 1}   -0.37{col 53}{space 3}0.713{col 61}{space 4}-.0944028{col 74}{space 3} .0646275
{txt}Pro_Market_Ideology {c |}{col 21}{res}{space 2}-.1438235{col 33}{space 2} .0393018{col 44}{space 1}   -3.66{col 53}{space 3}0.000{col 61}{space 4}-.2209356{col 74}{space 3}-.0667115
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} 4.900182{col 33}{space 2} .3117775{col 44}{space 1}   15.72{col 53}{space 3}0.000{col 61}{space 4}  4.28846{col 74}{space 3} 5.511904
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}      Region{col 14}{c |}{space 1}        4{col 27}{space 1}        0{col 39}{result}{space 1}        4{col 53}{text} {col 54}{c |}
{res}{col 1}{text}   Age_Group{col 14}{c |}{space 1}        8{col 27}{space 1}        1{col 39}{result}{space 1}        7{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}
{txt}added macro:
                e(reg) : "{res:Yes}"

added macro:
                e(age) : "{res:Yes}"
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 5 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}     1,150
{txt}Absorbing 2 HDFE groups{col 51}F({res}   8{txt},{res}   1131{txt}){col 67}= {res}      7.51
{txt}{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.0686
{txt}{col 51}Adj R-squared{col 67}= {res}    0.0537
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0504
{txt}{col 51}Root MSE{col 67}= {res}    1.2871

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}COVID_Preference_pc{col 21}{c |} Coefficient{col 33}  Std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}hard {c |}{col 21}{res}{space 2} .2034765{col 33}{space 2} .0762464{col 44}{space 1}    2.67{col 53}{space 3}0.008{col 61}{space 4} .0538763{col 74}{space 3} .3530768
{txt}{space 13}Gender {c |}{col 21}{res}{space 2} .0481998{col 33}{space 2} .0794148{col 44}{space 1}    0.61{col 53}{space 3}0.544{col 61}{space 4}-.1076172{col 74}{space 3} .2040167
{txt}{space 10}Education {c |}{col 21}{res}{space 2}-.0228366{col 33}{space 2} .0604584{col 44}{space 1}   -0.38{col 53}{space 3}0.706{col 61}{space 4}-.1414598{col 74}{space 3} .0957866
{txt}{space 13}Income {c |}{col 21}{res}{space 2} .0909399{col 33}{space 2} .0450308{col 44}{space 1}    2.02{col 53}{space 3}0.044{col 61}{space 4} .0025867{col 74}{space 3} .1792931
{txt}{space 8}PartyMember {c |}{col 21}{res}{space 2}-.1301823{col 33}{space 2}  .118872{col 44}{space 1}   -1.10{col 53}{space 3}0.274{col 61}{space 4}-.3634167{col 74}{space 3} .1030521
{txt}{space 7}Pol_Interest {c |}{col 21}{res}{space 2} .2176053{col 33}{space 2} .0362211{col 44}{space 1}    6.01{col 53}{space 3}0.000{col 61}{space 4} .1465371{col 74}{space 3} .2886735
{txt}{space 7}Social_Media {c |}{col 21}{res}{space 2}-.0876815{col 33}{space 2} .0419448{col 44}{space 1}   -2.09{col 53}{space 3}0.037{col 61}{space 4}-.1699797{col 74}{space 3}-.0053832
{txt}Pro_Market_Ideology {c |}{col 21}{res}{space 2}-.0793069{col 33}{space 2} .0415617{col 44}{space 1}   -1.91{col 53}{space 3}0.057{col 61}{space 4}-.1608537{col 74}{space 3} .0022399
{txt}{space 14}_cons {c |}{col 21}{res}{space 2}-.7592026{col 33}{space 2} .3113798{col 44}{space 1}   -2.44{col 53}{space 3}0.015{col 61}{space 4} -1.37015{col 74}{space 3}-.1482556
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}      Region{col 14}{c |}{space 1}        4{col 27}{space 1}        0{col 39}{result}{space 1}        4{col 53}{text} {col 54}{c |}
{res}{col 1}{text}   Age_Group{col 14}{c |}{space 1}        8{col 27}{space 1}        1{col 39}{result}{space 1}        7{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}
{txt}added macro:
                e(reg) : "{res:Yes}"

added macro:
                e(age) : "{res:Yes}"
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 5 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}     1,150
{txt}Absorbing 2 HDFE groups{col 51}F({res}   8{txt},{res}   1131{txt}){col 67}= {res}      7.97
{txt}{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.0869
{txt}{col 51}Adj R-squared{col 67}= {res}    0.0724
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0534
{txt}{col 51}Root MSE{col 67}= {res}    1.3037

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}COVID_Preference_pc{col 21}{c |} Coefficient{col 33}  Std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}hard_hard {c |}{col 21}{res}{space 2} .1453436{col 33}{space 2}  .077878{col 44}{space 1}    1.87{col 53}{space 3}0.062{col 61}{space 4} -.007458{col 74}{space 3} .2981452
{txt}{space 13}Gender {c |}{col 21}{res}{space 2} .1138802{col 33}{space 2} .0803729{col 44}{space 1}    1.42{col 53}{space 3}0.157{col 61}{space 4}-.0438165{col 74}{space 3}  .271577
{txt}{space 10}Education {c |}{col 21}{res}{space 2}-.0395429{col 33}{space 2} .0638003{col 44}{space 1}   -0.62{col 53}{space 3}0.536{col 61}{space 4}-.1647232{col 74}{space 3} .0856375
{txt}{space 13}Income {c |}{col 21}{res}{space 2} .1440074{col 33}{space 2} .0446878{col 44}{space 1}    3.22{col 53}{space 3}0.001{col 61}{space 4} .0563272{col 74}{space 3} .2316876
{txt}{space 8}PartyMember {c |}{col 21}{res}{space 2}-.2110958{col 33}{space 2} .1197998{col 44}{space 1}   -1.76{col 53}{space 3}0.078{col 61}{space 4}-.4461507{col 74}{space 3} .0239591
{txt}{space 7}Pol_Interest {c |}{col 21}{res}{space 2} .2062314{col 33}{space 2} .0373414{col 44}{space 1}    5.52{col 53}{space 3}0.000{col 61}{space 4} .1329652{col 74}{space 3} .2794976
{txt}{space 7}Social_Media {c |}{col 21}{res}{space 2}-.1064656{col 33}{space 2} .0435019{col 44}{space 1}   -2.45{col 53}{space 3}0.015{col 61}{space 4}-.1918192{col 74}{space 3} -.021112
{txt}Pro_Market_Ideology {c |}{col 21}{res}{space 2}-.0462905{col 33}{space 2} .0423862{col 44}{space 1}   -1.09{col 53}{space 3}0.275{col 61}{space 4}-.1294549{col 74}{space 3} .0368739
{txt}{space 14}_cons {c |}{col 21}{res}{space 2}-.9348355{col 33}{space 2} .3254987{col 44}{space 1}   -2.87{col 53}{space 3}0.004{col 61}{space 4}-1.573485{col 74}{space 3}-.2961862
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}      Region{col 14}{c |}{space 1}        4{col 27}{space 1}        0{col 39}{result}{space 1}        4{col 53}{text} {col 54}{c |}
{res}{col 1}{text}   Age_Group{col 14}{c |}{space 1}        8{col 27}{space 1}        1{col 39}{result}{space 1}        7{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}
{txt}added macro:
                e(reg) : "{res:Yes}"

added macro:
                e(age) : "{res:Yes}"
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 5 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}     1,159
{txt}Absorbing 2 HDFE groups{col 51}F({res}   8{txt},{res}   1140{txt}){col 67}= {res}     10.77
{txt}{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.0974
{txt}{col 51}Adj R-squared{col 67}= {res}    0.0831
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0702
{txt}{col 51}Root MSE{col 67}= {res}    1.2609

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}COVID_Preference_pc{col 21}{c |} Coefficient{col 33}  Std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}soft {c |}{col 21}{res}{space 2} .2571144{col 33}{space 2} .0745066{col 44}{space 1}    3.45{col 53}{space 3}0.001{col 61}{space 4} .1109288{col 74}{space 3} .4032999
{txt}{space 13}Gender {c |}{col 21}{res}{space 2} .0979321{col 33}{space 2} .0783389{col 44}{space 1}    1.25{col 53}{space 3}0.212{col 61}{space 4}-.0557726{col 74}{space 3} .2516367
{txt}{space 10}Education {c |}{col 21}{res}{space 2}-.0494401{col 33}{space 2} .0590008{col 44}{space 1}   -0.84{col 53}{space 3}0.402{col 61}{space 4}-.1652025{col 74}{space 3} .0663222
{txt}{space 13}Income {c |}{col 21}{res}{space 2} .0623651{col 33}{space 2} .0437598{col 44}{space 1}    1.43{col 53}{space 3}0.154{col 61}{space 4}-.0234937{col 74}{space 3} .1482238
{txt}{space 8}PartyMember {c |}{col 21}{res}{space 2}-.1415612{col 33}{space 2} .1180921{col 44}{space 1}   -1.20{col 53}{space 3}0.231{col 61}{space 4}-.3732635{col 74}{space 3} .0901411
{txt}{space 7}Pol_Interest {c |}{col 21}{res}{space 2} .2743606{col 33}{space 2} .0346685{col 44}{space 1}    7.91{col 53}{space 3}0.000{col 61}{space 4} .2063394{col 74}{space 3} .3423819
{txt}{space 7}Social_Media {c |}{col 21}{res}{space 2}-.0333676{col 33}{space 2} .0407578{col 44}{space 1}   -0.82{col 53}{space 3}0.413{col 61}{space 4}-.1133363{col 74}{space 3}  .046601
{txt}Pro_Market_Ideology {c |}{col 21}{res}{space 2}-.0138177{col 33}{space 2} .0405831{col 44}{space 1}   -0.34{col 53}{space 3}0.734{col 61}{space 4}-.0934436{col 74}{space 3} .0658082
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} -1.20088{col 33}{space 2} .2931703{col 44}{space 1}   -4.10{col 53}{space 3}0.000{col 61}{space 4}-1.776094{col 74}{space 3}-.6256662
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}      Region{col 14}{c |}{space 1}        4{col 27}{space 1}        0{col 39}{result}{space 1}        4{col 53}{text} {col 54}{c |}
{res}{col 1}{text}   Age_Group{col 14}{c |}{space 1}        8{col 27}{space 1}        1{col 39}{result}{space 1}        7{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}
{txt}added macro:
                e(reg) : "{res:Yes}"

added macro:
                e(age) : "{res:Yes}"
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 5 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}     1,152
{txt}Absorbing 2 HDFE groups{col 51}F({res}   8{txt},{res}   1133{txt}){col 67}= {res}      6.55
{txt}{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.0768
{txt}{col 51}Adj R-squared{col 67}= {res}    0.0621
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0442
{txt}{col 51}Root MSE{col 67}= {res}    1.3447

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}COVID_Preference_pc{col 21}{c |} Coefficient{col 33}  Std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}soft_soft {c |}{col 21}{res}{space 2} .1066857{col 33}{space 2} .0799417{col 44}{space 1}    1.33{col 53}{space 3}0.182{col 61}{space 4}-.0501648{col 74}{space 3} .2635362
{txt}{space 13}Gender {c |}{col 21}{res}{space 2} .1485999{col 33}{space 2} .0830553{col 44}{space 1}    1.79{col 53}{space 3}0.074{col 61}{space 4}-.0143596{col 74}{space 3} .3115594
{txt}{space 10}Education {c |}{col 21}{res}{space 2}-.0415652{col 33}{space 2} .0665035{col 44}{space 1}   -0.63{col 53}{space 3}0.532{col 61}{space 4} -.172049{col 74}{space 3} .0889186
{txt}{space 13}Income {c |}{col 21}{res}{space 2} .0978335{col 33}{space 2} .0468413{col 44}{space 1}    2.09{col 53}{space 3}0.037{col 61}{space 4} .0059281{col 74}{space 3} .1897389
{txt}{space 8}PartyMember {c |}{col 21}{res}{space 2}-.0147307{col 33}{space 2} .1257832{col 44}{space 1}   -0.12{col 53}{space 3}0.907{col 61}{space 4}-.2615248{col 74}{space 3} .2320634
{txt}{space 7}Pol_Interest {c |}{col 21}{res}{space 2} .2353888{col 33}{space 2} .0370994{col 44}{space 1}    6.34{col 53}{space 3}0.000{col 61}{space 4} .1625975{col 74}{space 3} .3081801
{txt}{space 7}Social_Media {c |}{col 21}{res}{space 2}-.0500426{col 33}{space 2} .0435601{col 44}{space 1}   -1.15{col 53}{space 3}0.251{col 61}{space 4}-.1355101{col 74}{space 3} .0354249
{txt}Pro_Market_Ideology {c |}{col 21}{res}{space 2}-.0147734{col 33}{space 2} .0421935{col 44}{space 1}   -0.35{col 53}{space 3}0.726{col 61}{space 4}-.0975597{col 74}{space 3} .0680128
{txt}{space 14}_cons {c |}{col 21}{res}{space 2}-1.230861{col 33}{space 2} .3357755{col 44}{space 1}   -3.67{col 53}{space 3}0.000{col 61}{space 4}-1.889672{col 74}{space 3} -.572049
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}      Region{col 14}{c |}{space 1}        4{col 27}{space 1}        0{col 39}{result}{space 1}        4{col 53}{text} {col 54}{c |}
{res}{col 1}{text}   Age_Group{col 14}{c |}{space 1}        8{col 27}{space 1}        1{col 39}{result}{space 1}        7{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}
{txt}added macro:
                e(reg) : "{res:Yes}"

added macro:
                e(age) : "{res:Yes}"

{com}. esttab using TableC2.tex, se(3) b(3) r2(3)label star(* 0.05) ///
> keep (_cons hard hard_hard soft soft_soft Gender Education Income PartyMember Pol_Interest Social_Media Pro_Market_Ideology) ///
>  varlabel(_cons "Constant" hard "Hard" hard_hard "Two-sided Hard" soft "Soft" soft_soft "Two-sided Soft") ///
>  stats(reg age N r2, labels( "Region FE"  "Age Group FE" "Observations" "R-squared") fmt(0 0 0 3)) /// 
> eqlabel(none) nomtitles mgroups("Policy Support" "Prefer Reopen", pattern(1 1)) replace
{res}{txt}{p 0 4 2}
(file {bf}
TableC2.tex{rm}
not found)
{p_end}
(output written to {browse  `"TableC2.tex"'})

{com}. 
. // Table C3: Treatment Effects on Willingness to Protest
. 
. eststo clear
{txt}
{com}. set more off
{txt}
{com}. local vlist  COVID_Protest Protest_Rightfulness
{txt}
{com}. local wd=wordcount("`vlist'")
{txt}
{com}. forv i=1/`wd'{c -(}
{txt}  2{com}. local dv: word `i' of `vlist'
{txt}  3{com}. 
. eststo m`i'_1: reg `dv' hard if control + hard == 1
{txt}  4{com}. eststo m`i'_2: reg `dv' hard_hard if control + hard_hard == 1
{txt}  5{com}. eststo m`i'_3: reg `dv' soft if control + soft == 1
{txt}  6{com}. eststo m`i'_4: reg `dv' soft_soft if control + soft_soft == 1
{txt}  7{com}. {c )-}

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,207
{txt}{hline 13}{c +}{hline 34}   F(1, 1205)      = {res}     0.86
{txt}       Model {c |} {res} 2.33396201         1  2.33396201   {txt}Prob > F        ={res}    0.3544
{txt}    Residual {c |} {res} 3276.52602     1,205  2.71910873   {txt}R-squared       ={res}    0.0007
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}   -0.0001
{txt}       Total {c |} {res} 3278.85998     1,206  2.71878937   {txt}Root MSE        =   {res}  1.649

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}COVID_Prot~t{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}hard {c |}{col 14}{res}{space 2}-.0879489{col 26}{space 2} .0949286{col 37}{space 1}   -0.93{col 46}{space 3}0.354{col 54}{space 4}-.2741926{col 67}{space 3} .0982947
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}    3.055{col 26}{space 2}  .067319{col 37}{space 1}   45.38{col 46}{space 3}0.000{col 54}{space 4} 2.922925{col 67}{space 3} 3.187075
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,206
{txt}{hline 13}{c +}{hline 34}   F(1, 1204)      = {res}     6.44
{txt}       Model {c |} {res} 15.9375145         1  15.9375145   {txt}Prob > F        ={res}    0.0113
{txt}    Residual {c |} {res} 2978.64375     1,204   2.4739566   {txt}R-squared       ={res}    0.0053
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0045
{txt}       Total {c |} {res} 2994.58126     1,205  2.48512968   {txt}Root MSE        =   {res} 1.5729

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}COVID_Prot~t{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}hard_hard {c |}{col 14}{res}{space 2}-.2299175{col 26}{space 2} .0905853{col 37}{space 1}   -2.54{col 46}{space 3}0.011{col 54}{space 4}-.4076401{col 67}{space 3}-.0521949
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}    3.055{col 26}{space 2} .0642126{col 37}{space 1}   47.58{col 46}{space 3}0.000{col 54}{space 4} 2.929019{col 67}{space 3} 3.180981
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,213
{txt}{hline 13}{c +}{hline 34}   F(1, 1211)      = {res}     0.39
{txt}       Model {c |} {res}  1.1477788         1   1.1477788   {txt}Prob > F        ={res}    0.5307
{txt}    Residual {c |} {res}  3535.1589     1,211  2.91920636   {txt}R-squared       ={res}    0.0003
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}   -0.0005
{txt}       Total {c |} {res} 3536.30668     1,212  2.91774478   {txt}Root MSE        =   {res} 1.7086

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}COVID_Prot~t{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}soft {c |}{col 14}{res}{space 2}-.0615253{col 26}{space 2} .0981199{col 37}{space 1}   -0.63{col 46}{space 3}0.531{col 54}{space 4}-.2540291{col 67}{space 3} .1309785
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}    3.055{col 26}{space 2}  .069752{col 37}{space 1}   43.80{col 46}{space 3}0.000{col 54}{space 4} 2.918152{col 67}{space 3} 3.191848
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,195
{txt}{hline 13}{c +}{hline 34}   F(1, 1193)      = {res}     0.01
{txt}       Model {c |} {res} .023480714         1  .023480714   {txt}Prob > F        ={res}    0.9273
{txt}    Residual {c |} {res} 3366.75811     1,193  2.82209397   {txt}R-squared       ={res}    0.0000
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}   -0.0008
{txt}       Total {c |} {res} 3366.78159     1,194  2.81975008   {txt}Root MSE        =   {res} 1.6799

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}COVID_Prot~t{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}soft_soft {c |}{col 14}{res}{space 2} .0088655{col 26}{space 2} .0971931{col 37}{space 1}    0.09{col 46}{space 3}0.927{col 54}{space 4} -.181823{col 67}{space 3}  .199554
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}    3.055{col 26}{space 2}  .068582{col 37}{space 1}   44.55{col 46}{space 3}0.000{col 54}{space 4} 2.920445{col 67}{space 3} 3.189555
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,207
{txt}{hline 13}{c +}{hline 34}   F(1, 1205)      = {res}     5.28
{txt}       Model {c |} {res} 17.4697277         1  17.4697277   {txt}Prob > F        ={res}    0.0218
{txt}    Residual {c |} {res}   3988.749     1,205  3.31016514   {txt}R-squared       ={res}    0.0044
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0035
{txt}       Total {c |} {res} 4006.21872     1,206  3.32190607   {txt}Root MSE        =   {res} 1.8194

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}Protest_Ri~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}hard {c |}{col 14}{res}{space 2} .2406139{col 26}{space 2} .1047376{col 37}{space 1}    2.30{col 46}{space 3}0.022{col 54}{space 4} .0351256{col 67}{space 3} .4461022
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 4.142857{col 26}{space 2} .0741526{col 37}{space 1}   55.87{col 46}{space 3}0.000{col 54}{space 4} 3.997375{col 67}{space 3}  4.28834
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,205
{txt}{hline 13}{c +}{hline 34}   F(1, 1203)      = {res}     0.13
{txt}       Model {c |} {res} .443737448         1  .443737448   {txt}Prob > F        ={res}    0.7228
{txt}    Residual {c |} {res}  4240.1322     1,203  3.52463192   {txt}R-squared       ={res}    0.0001
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}   -0.0007
{txt}       Total {c |} {res} 4240.57593     1,204  3.52207303   {txt}Root MSE        =   {res} 1.8774

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}Protest_Ri~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}hard_hard {c |}{col 14}{res}{space 2}-.0383795{col 26}{space 2} .1081667{col 37}{space 1}   -0.35{col 46}{space 3}0.723{col 54}{space 4}-.2505958{col 67}{space 3} .1738368
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 4.142857{col 26}{space 2} .0765171{col 37}{space 1}   54.14{col 46}{space 3}0.000{col 54}{space 4} 3.992735{col 67}{space 3} 4.292979
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,215
{txt}{hline 13}{c +}{hline 34}   F(1, 1213)      = {res}     0.60
{txt}       Model {c |} {res} 2.14970102         1  2.14970102   {txt}Prob > F        ={res}    0.4400
{txt}    Residual {c |} {res} 4369.60009     1,213   3.6023084   {txt}R-squared       ={res}    0.0005
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}   -0.0003
{txt}       Total {c |} {res} 4371.74979     1,214  3.60111186   {txt}Root MSE        =   {res}  1.898

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}Protest_Ri~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}soft {c |}{col 14}{res}{space 2}-.0841296{col 26}{space 2} .1089056{col 37}{space 1}   -0.77{col 46}{space 3}0.440{col 54}{space 4}-.2977938{col 67}{space 3} .1295346
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 4.142857{col 26}{space 2} .0773557{col 37}{space 1}   53.56{col 46}{space 3}0.000{col 54}{space 4} 3.991091{col 67}{space 3} 4.294623
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,195
{txt}{hline 13}{c +}{hline 34}   F(1, 1193)      = {res}     2.03
{txt}       Model {c |} {res} 7.23507185         1  7.23507185   {txt}Prob > F        ={res}    0.1545
{txt}    Residual {c |} {res} 4251.88292     1,193  3.56402592   {txt}R-squared       ={res}    0.0017
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0009
{txt}       Total {c |} {res} 4259.11799     1,194   3.5671005   {txt}Root MSE        =   {res} 1.8879

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}Protest_Ri~s{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}soft_soft {c |}{col 14}{res}{space 2} .1556252{col 26}{space 2} .1092267{col 37}{space 1}    1.42{col 46}{space 3}0.154{col 54}{space 4}-.0586726{col 67}{space 3} .3699229
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 4.142857{col 26}{space 2} .0769435{col 37}{space 1}   53.84{col 46}{space 3}0.000{col 54}{space 4} 3.991897{col 67}{space 3} 4.293817
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. esttab using TableC3.tex, se(3) b(3) r2(3)label star(* 0.05) ///
> keep (_cons hard hard_hard soft soft_soft) varlabel(_cons "Constant" hard "Hard" hard_hard "Two-sided Hard" soft "Soft" soft_soft "Two-sided Soft") ///
> eqlabel(none) nomtitles mgroups("Willingness to Protest" "Protest Rightfulness", pattern(1 1)) replace
{res}{txt}{p 0 4 2}
(file {bf}
TableC3.tex{rm}
not found)
{p_end}
(output written to {browse  `"TableC3.tex"'})

{com}. 
. 
. // Table C4: Treatment Effects on Willingness to Protest with Controls
. 
. eststo clear
{txt}
{com}. set more off
{txt}
{com}. local vlist  COVID_Protest Protest_Rightfulness
{txt}
{com}. local wd=wordcount("`vlist'")
{txt}
{com}. forv i=1/`wd'{c -(}
{txt}  2{com}. local dv: word `i' of `vlist'
{txt}  3{com}. eststo m`i'_1: reghdfe `dv' hard $cov if control + hard == 1, ab(Region Age_Group)
{txt}  4{com}. estadd local reg "Yes"
{txt}  5{com}. estadd local age "Yes"
{txt}  6{com}. eststo m`i'_2: reghdfe `dv' hard_hard $cov if control + hard_hard == 1, ab(Region Age_Group)
{txt}  7{com}. estadd local reg "Yes"
{txt}  8{com}. estadd local age "Yes"
{txt}  9{com}. eststo m`i'_3: reghdfe `dv' soft $cov if control + soft == 1, ab(Region Age_Group)
{txt} 10{com}. estadd local reg "Yes"
{txt} 11{com}. estadd local age "Yes"
{txt} 12{com}. eststo m`i'_4: reghdfe `dv' soft_soft $cov if control + soft_soft == 1, ab(Region Age_Group)
{txt} 13{com}. estadd local reg "Yes"
{txt} 14{com}. estadd local age "Yes"
{txt} 15{com}. {c )-}
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 5 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}     1,165
{txt}Absorbing 2 HDFE groups{col 51}F({res}   8{txt},{res}   1146{txt}){col 67}= {res}      3.57
{txt}{col 51}Prob > F{col 67}= {res}    0.0004
{txt}{col 51}R-squared{col 67}= {res}    0.0375
{txt}{col 51}Adj R-squared{col 67}= {res}    0.0224
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0243
{txt}{col 51}Root MSE{col 67}= {res}    1.6159

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      COVID_Protest{col 21}{c |} Coefficient{col 33}  Std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}hard {c |}{col 21}{res}{space 2}-.1037704{col 33}{space 2}  .095131{col 44}{space 1}   -1.09{col 53}{space 3}0.276{col 61}{space 4}-.2904208{col 74}{space 3}   .08288
{txt}{space 13}Gender {c |}{col 21}{res}{space 2}-.0729589{col 33}{space 2} .0989995{col 44}{space 1}   -0.74{col 53}{space 3}0.461{col 61}{space 4}-.2671995{col 74}{space 3} .1212816
{txt}{space 10}Education {c |}{col 21}{res}{space 2}-.0161558{col 33}{space 2}   .07548{col 44}{space 1}   -0.21{col 53}{space 3}0.831{col 61}{space 4}-.1642503{col 74}{space 3} .1319388
{txt}{space 13}Income {c |}{col 21}{res}{space 2} .0309544{col 33}{space 2} .0562542{col 44}{space 1}    0.55{col 53}{space 3}0.582{col 61}{space 4}-.0794183{col 74}{space 3} .1413271
{txt}{space 8}PartyMember {c |}{col 21}{res}{space 2} .3146649{col 33}{space 2} .1477444{col 44}{space 1}    2.13{col 53}{space 3}0.033{col 61}{space 4} .0247851{col 74}{space 3} .6045447
{txt}{space 7}Pol_Interest {c |}{col 21}{res}{space 2}-.1575287{col 33}{space 2} .0452327{col 44}{space 1}   -3.48{col 53}{space 3}0.001{col 61}{space 4}-.2462769{col 74}{space 3}-.0687806
{txt}{space 7}Social_Media {c |}{col 21}{res}{space 2}-.0538327{col 33}{space 2} .0524594{col 44}{space 1}   -1.03{col 53}{space 3}0.305{col 61}{space 4}-.1567601{col 74}{space 3} .0490946
{txt}Pro_Market_Ideology {c |}{col 21}{res}{space 2} .1114723{col 33}{space 2} .0516829{col 44}{space 1}    2.16{col 53}{space 3}0.031{col 61}{space 4} .0100685{col 74}{space 3}  .212876
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} 3.582654{col 33}{space 2} .3875859{col 44}{space 1}    9.24{col 53}{space 3}0.000{col 61}{space 4} 2.822196{col 74}{space 3} 4.343111
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}      Region{col 14}{c |}{space 1}        4{col 27}{space 1}        0{col 39}{result}{space 1}        4{col 53}{text} {col 54}{c |}
{res}{col 1}{text}   Age_Group{col 14}{c |}{space 1}        8{col 27}{space 1}        1{col 39}{result}{space 1}        7{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}
{txt}added macro:
                e(reg) : "{res:Yes}"

added macro:
                e(age) : "{res:Yes}"
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 5 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}     1,162
{txt}Absorbing 2 HDFE groups{col 51}F({res}   8{txt},{res}   1143{txt}){col 67}= {res}      2.76
{txt}{col 51}Prob > F{col 67}= {res}    0.0050
{txt}{col 51}R-squared{col 67}= {res}    0.0427
{txt}{col 51}Adj R-squared{col 67}= {res}    0.0276
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0190
{txt}{col 51}Root MSE{col 67}= {res}    1.5431

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      COVID_Protest{col 21}{c |} Coefficient{col 33}  Std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}hard_hard {c |}{col 21}{res}{space 2}-.2399623{col 33}{space 2} .0917766{col 44}{space 1}   -2.61{col 53}{space 3}0.009{col 61}{space 4}-.4200318{col 74}{space 3}-.0598928
{txt}{space 13}Gender {c |}{col 21}{res}{space 2}-.0534297{col 33}{space 2} .0946239{col 44}{space 1}   -0.56{col 53}{space 3}0.572{col 61}{space 4}-.2390857{col 74}{space 3} .1322264
{txt}{space 10}Education {c |}{col 21}{res}{space 2}-.0415468{col 33}{space 2} .0749447{col 44}{space 1}   -0.55{col 53}{space 3}0.579{col 61}{space 4}-.1885915{col 74}{space 3} .1054978
{txt}{space 13}Income {c |}{col 21}{res}{space 2} .0343375{col 33}{space 2} .0527899{col 44}{space 1}    0.65{col 53}{space 3}0.516{col 61}{space 4}-.0692385{col 74}{space 3} .1379134
{txt}{space 8}PartyMember {c |}{col 21}{res}{space 2} .3180869{col 33}{space 2}  .141156{col 44}{space 1}    2.25{col 53}{space 3}0.024{col 61}{space 4} .0411328{col 74}{space 3} .5950409
{txt}{space 7}Pol_Interest {c |}{col 21}{res}{space 2}-.0846078{col 33}{space 2} .0439584{col 44}{space 1}   -1.92{col 53}{space 3}0.055{col 61}{space 4}-.1708561{col 74}{space 3} .0016405
{txt}{space 7}Social_Media {c |}{col 21}{res}{space 2}-.0589239{col 33}{space 2} .0512195{col 44}{space 1}   -1.15{col 53}{space 3}0.250{col 61}{space 4}-.1594188{col 74}{space 3}  .041571
{txt}Pro_Market_Ideology {c |}{col 21}{res}{space 2} .0763914{col 33}{space 2} .0499913{col 44}{space 1}    1.53{col 53}{space 3}0.127{col 61}{space 4}-.0216937{col 74}{space 3} .1744764
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} 3.447111{col 33}{space 2} .3827845{col 44}{space 1}    9.01{col 53}{space 3}0.000{col 61}{space 4} 2.696072{col 74}{space 3}  4.19815
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}      Region{col 14}{c |}{space 1}        4{col 27}{space 1}        0{col 39}{result}{space 1}        4{col 53}{text} {col 54}{c |}
{res}{col 1}{text}   Age_Group{col 14}{c |}{space 1}        8{col 27}{space 1}        1{col 39}{result}{space 1}        7{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}
{txt}added macro:
                e(reg) : "{res:Yes}"

added macro:
                e(age) : "{res:Yes}"
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 5 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}     1,169
{txt}Absorbing 2 HDFE groups{col 51}F({res}   8{txt},{res}   1150{txt}){col 67}= {res}      4.33
{txt}{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.0483
{txt}{col 51}Adj R-squared{col 67}= {res}    0.0334
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0293
{txt}{col 51}Root MSE{col 67}= {res}    1.6739

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      COVID_Protest{col 21}{c |} Coefficient{col 33}  Std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}soft {c |}{col 21}{res}{space 2}-.0595306{col 33}{space 2}  .098527{col 44}{space 1}   -0.60{col 53}{space 3}0.546{col 61}{space 4}-.2528434{col 74}{space 3} .1337822
{txt}{space 13}Gender {c |}{col 21}{res}{space 2}-.2686745{col 33}{space 2} .1035871{col 44}{space 1}   -2.59{col 53}{space 3}0.010{col 61}{space 4}-.4719154{col 74}{space 3}-.0654336
{txt}{space 10}Education {c |}{col 21}{res}{space 2}-.0155355{col 33}{space 2} .0777214{col 44}{space 1}   -0.20{col 53}{space 3}0.842{col 61}{space 4}-.1680271{col 74}{space 3} .1369561
{txt}{space 13}Income {c |}{col 21}{res}{space 2} .0575993{col 33}{space 2} .0579414{col 44}{space 1}    0.99{col 53}{space 3}0.320{col 61}{space 4}-.0560834{col 74}{space 3} .1712819
{txt}{space 8}PartyMember {c |}{col 21}{res}{space 2} .3384504{col 33}{space 2} .1559307{col 44}{space 1}    2.17{col 53}{space 3}0.030{col 61}{space 4} .0325097{col 74}{space 3}  .644391
{txt}{space 7}Pol_Interest {c |}{col 21}{res}{space 2}-.1321024{col 33}{space 2}  .045859{col 44}{space 1}   -2.88{col 53}{space 3}0.004{col 61}{space 4}-.2220792{col 74}{space 3}-.0421256
{txt}{space 7}Social_Media {c |}{col 21}{res}{space 2}-.1194305{col 33}{space 2} .0540064{col 44}{space 1}   -2.21{col 53}{space 3}0.027{col 61}{space 4}-.2253926{col 74}{space 3}-.0134685
{txt}Pro_Market_Ideology {c |}{col 21}{res}{space 2} .0508433{col 33}{space 2} .0537483{col 44}{space 1}    0.95{col 53}{space 3}0.344{col 61}{space 4}-.0546123{col 74}{space 3}  .156299
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} 4.068072{col 33}{space 2} .3874396{col 44}{space 1}   10.50{col 53}{space 3}0.000{col 61}{space 4} 3.307904{col 74}{space 3}  4.82824
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}      Region{col 14}{c |}{space 1}        4{col 27}{space 1}        0{col 39}{result}{space 1}        4{col 53}{text} {col 54}{c |}
{res}{col 1}{text}   Age_Group{col 14}{c |}{space 1}        8{col 27}{space 1}        1{col 39}{result}{space 1}        7{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}
{txt}added macro:
                e(reg) : "{res:Yes}"

added macro:
                e(age) : "{res:Yes}"
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 5 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}     1,160
{txt}Absorbing 2 HDFE groups{col 51}F({res}   8{txt},{res}   1141{txt}){col 67}= {res}      3.18
{txt}{col 51}Prob > F{col 67}= {res}    0.0014
{txt}{col 51}R-squared{col 67}= {res}    0.0297
{txt}{col 51}Adj R-squared{col 67}= {res}    0.0144
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0218
{txt}{col 51}Root MSE{col 67}= {res}    1.6497

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      COVID_Protest{col 21}{c |} Coefficient{col 33}  Std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}soft_soft {c |}{col 21}{res}{space 2} .0081271{col 33}{space 2} .0976911{col 44}{space 1}    0.08{col 53}{space 3}0.934{col 61}{space 4}-.1835473{col 74}{space 3} .1998015
{txt}{space 13}Gender {c |}{col 21}{res}{space 2}-.2633203{col 33}{space 2} .1015392{col 44}{space 1}   -2.59{col 53}{space 3}0.010{col 61}{space 4}-.4625448{col 74}{space 3}-.0640958
{txt}{space 10}Education {c |}{col 21}{res}{space 2}  .031927{col 33}{space 2} .0809396{col 44}{space 1}    0.39{col 53}{space 3}0.693{col 61}{space 4}-.1268801{col 74}{space 3} .1907341
{txt}{space 13}Income {c |}{col 21}{res}{space 2} .0095629{col 33}{space 2} .0571968{col 44}{space 1}    0.17{col 53}{space 3}0.867{col 61}{space 4}-.1026597{col 74}{space 3} .1217855
{txt}{space 8}PartyMember {c |}{col 21}{res}{space 2} .3847178{col 33}{space 2} .1535728{col 44}{space 1}    2.51{col 53}{space 3}0.012{col 61}{space 4} .0834011{col 74}{space 3} .6860346
{txt}{space 7}Pol_Interest {c |}{col 21}{res}{space 2}-.0590683{col 33}{space 2} .0454001{col 44}{space 1}   -1.30{col 53}{space 3}0.193{col 61}{space 4}-.1481454{col 74}{space 3} .0300087
{txt}{space 7}Social_Media {c |}{col 21}{res}{space 2}-.1133636{col 33}{space 2} .0531885{col 44}{space 1}   -2.13{col 53}{space 3}0.033{col 61}{space 4}-.2177219{col 74}{space 3}-.0090053
{txt}Pro_Market_Ideology {c |}{col 21}{res}{space 2} .0365589{col 33}{space 2} .0518382{col 44}{space 1}    0.71{col 53}{space 3}0.481{col 61}{space 4}-.0651499{col 74}{space 3} .1382677
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} 3.790098{col 33}{space 2} .4098058{col 44}{space 1}    9.25{col 53}{space 3}0.000{col 61}{space 4}  2.98604{col 74}{space 3} 4.594155
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}      Region{col 14}{c |}{space 1}        4{col 27}{space 1}        0{col 39}{result}{space 1}        4{col 53}{text} {col 54}{c |}
{res}{col 1}{text}   Age_Group{col 14}{c |}{space 1}        8{col 27}{space 1}        1{col 39}{result}{space 1}        7{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}
{txt}added macro:
                e(reg) : "{res:Yes}"

added macro:
                e(age) : "{res:Yes}"
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 5 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}     1,165
{txt}Absorbing 2 HDFE groups{col 51}F({res}   8{txt},{res}   1146{txt}){col 67}= {res}      8.98
{txt}{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.0820
{txt}{col 51}Adj R-squared{col 67}= {res}    0.0676
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0590
{txt}{col 51}Root MSE{col 67}= {res}    1.7615

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}Protest_Rightfuln~s{col 21}{c |} Coefficient{col 33}  Std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}hard {c |}{col 21}{res}{space 2} .2827238{col 33}{space 2} .1036937{col 44}{space 1}    2.73{col 53}{space 3}0.006{col 61}{space 4} .0792731{col 74}{space 3} .4861745
{txt}{space 13}Gender {c |}{col 21}{res}{space 2}-.5078973{col 33}{space 2} .1078504{col 44}{space 1}   -4.71{col 53}{space 3}0.000{col 61}{space 4}-.7195037{col 74}{space 3}-.2962909
{txt}{space 10}Education {c |}{col 21}{res}{space 2} .1000632{col 33}{space 2} .0820777{col 44}{space 1}    1.22{col 53}{space 3}0.223{col 61}{space 4}-.0609763{col 74}{space 3} .2611028
{txt}{space 13}Income {c |}{col 21}{res}{space 2} .2450884{col 33}{space 2} .0612641{col 44}{space 1}    4.00{col 53}{space 3}0.000{col 61}{space 4}  .124886{col 74}{space 3} .3652908
{txt}{space 8}PartyMember {c |}{col 21}{res}{space 2}-.3851359{col 33}{space 2} .1611078{col 44}{space 1}   -2.39{col 53}{space 3}0.017{col 61}{space 4}-.7012352{col 74}{space 3}-.0690366
{txt}{space 7}Pol_Interest {c |}{col 21}{res}{space 2}-.0216757{col 33}{space 2}  .049327{col 44}{space 1}   -0.44{col 53}{space 3}0.660{col 61}{space 4}-.1184571{col 74}{space 3} .0751056
{txt}{space 7}Social_Media {c |}{col 21}{res}{space 2}-.0963509{col 33}{space 2} .0571771{col 44}{space 1}   -1.69{col 53}{space 3}0.092{col 61}{space 4}-.2085344{col 74}{space 3} .0158326
{txt}Pro_Market_Ideology {c |}{col 21}{res}{space 2}-.0299474{col 33}{space 2} .0563539{col 44}{space 1}   -0.53{col 53}{space 3}0.595{col 61}{space 4}-.1405157{col 74}{space 3} .0806209
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} 4.259492{col 33}{space 2} .4228718{col 44}{space 1}   10.07{col 53}{space 3}0.000{col 61}{space 4} 3.429802{col 74}{space 3} 5.089181
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}      Region{col 14}{c |}{space 1}        4{col 27}{space 1}        0{col 39}{result}{space 1}        4{col 53}{text} {col 54}{c |}
{res}{col 1}{text}   Age_Group{col 14}{c |}{space 1}        8{col 27}{space 1}        1{col 39}{result}{space 1}        7{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}
{txt}added macro:
                e(reg) : "{res:Yes}"

added macro:
                e(age) : "{res:Yes}"
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 5 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}     1,161
{txt}Absorbing 2 HDFE groups{col 51}F({res}   8{txt},{res}   1142{txt}){col 67}= {res}      7.64
{txt}{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.0675
{txt}{col 51}Adj R-squared{col 67}= {res}    0.0528
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0508
{txt}{col 51}Root MSE{col 67}= {res}    1.8241

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}Protest_Rightfuln~s{col 21}{c |} Coefficient{col 33}  Std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}hard_hard {c |}{col 21}{res}{space 2}-.0503669{col 33}{space 2} .1084341{col 44}{space 1}   -0.46{col 53}{space 3}0.642{col 61}{space 4}-.2631192{col 74}{space 3} .1623855
{txt}{space 13}Gender {c |}{col 21}{res}{space 2}-.3870833{col 33}{space 2} .1120359{col 44}{space 1}   -3.45{col 53}{space 3}0.001{col 61}{space 4}-.6069026{col 74}{space 3} -.167264
{txt}{space 10}Education {c |}{col 21}{res}{space 2} .1645896{col 33}{space 2} .0881875{col 44}{space 1}    1.87{col 53}{space 3}0.062{col 61}{space 4}-.0084381{col 74}{space 3} .3376172
{txt}{space 13}Income {c |}{col 21}{res}{space 2}  .264558{col 33}{space 2} .0622185{col 44}{space 1}    4.25{col 53}{space 3}0.000{col 61}{space 4} .1424826{col 74}{space 3} .3866334
{txt}{space 8}PartyMember {c |}{col 21}{res}{space 2} -.461167{col 33}{space 2} .1667103{col 44}{space 1}   -2.77{col 53}{space 3}0.006{col 61}{space 4}-.7882598{col 74}{space 3}-.1340742
{txt}{space 7}Pol_Interest {c |}{col 21}{res}{space 2}-.0302642{col 33}{space 2} .0520153{col 44}{space 1}   -0.58{col 53}{space 3}0.561{col 61}{space 4}-.1323204{col 74}{space 3} .0717921
{txt}{space 7}Social_Media {c |}{col 21}{res}{space 2}-.1022091{col 33}{space 2} .0605659{col 44}{space 1}   -1.69{col 53}{space 3}0.092{col 61}{space 4} -.221042{col 74}{space 3} .0166238
{txt}Pro_Market_Ideology {c |}{col 21}{res}{space 2} -.032038{col 33}{space 2}  .059307{col 44}{space 1}   -0.54{col 53}{space 3}0.589{col 61}{space 4} -.148401{col 74}{space 3} .0843249
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} 3.886355{col 33}{space 2} .4531657{col 44}{space 1}    8.58{col 53}{space 3}0.000{col 61}{space 4} 2.997225{col 74}{space 3} 4.775486
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}      Region{col 14}{c |}{space 1}        4{col 27}{space 1}        0{col 39}{result}{space 1}        4{col 53}{text} {col 54}{c |}
{res}{col 1}{text}   Age_Group{col 14}{c |}{space 1}        8{col 27}{space 1}        1{col 39}{result}{space 1}        7{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}
{txt}added macro:
                e(reg) : "{res:Yes}"

added macro:
                e(age) : "{res:Yes}"
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 5 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}     1,172
{txt}Absorbing 2 HDFE groups{col 51}F({res}   8{txt},{res}   1153{txt}){col 67}= {res}      9.33
{txt}{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.0742
{txt}{col 51}Adj R-squared{col 67}= {res}    0.0598
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0608
{txt}{col 51}Root MSE{col 67}= {res}    1.8350

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}Protest_Rightfuln~s{col 21}{c |} Coefficient{col 33}  Std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}soft {c |}{col 21}{res}{space 2}-.0552056{col 33}{space 2} .1078551{col 44}{space 1}   -0.51{col 53}{space 3}0.609{col 61}{space 4}-.2668198{col 74}{space 3} .1564086
{txt}{space 13}Gender {c |}{col 21}{res}{space 2}-.4090353{col 33}{space 2} .1133355{col 44}{space 1}   -3.61{col 53}{space 3}0.000{col 61}{space 4}-.6314023{col 74}{space 3}-.1866684
{txt}{space 10}Education {c |}{col 21}{res}{space 2}  .147637{col 33}{space 2} .0848115{col 44}{space 1}    1.74{col 53}{space 3}0.082{col 61}{space 4}-.0187652{col 74}{space 3} .3140391
{txt}{space 13}Income {c |}{col 21}{res}{space 2} .2688343{col 33}{space 2} .0633704{col 44}{space 1}    4.24{col 53}{space 3}0.000{col 61}{space 4}    .1445{col 74}{space 3} .3931685
{txt}{space 8}PartyMember {c |}{col 21}{res}{space 2}-.3708802{col 33}{space 2}  .170927{col 44}{space 1}   -2.17{col 53}{space 3}0.030{col 61}{space 4}-.7062431{col 74}{space 3}-.0355173
{txt}{space 7}Pol_Interest {c |}{col 21}{res}{space 2}-.0964966{col 33}{space 2} .0502017{col 44}{space 1}   -1.92{col 53}{space 3}0.055{col 61}{space 4}-.1949935{col 74}{space 3} .0020003
{txt}{space 7}Social_Media {c |}{col 21}{res}{space 2}-.1568032{col 33}{space 2} .0591244{col 44}{space 1}   -2.65{col 53}{space 3}0.008{col 61}{space 4}-.2728067{col 74}{space 3}-.0407997
{txt}Pro_Market_Ideology {c |}{col 21}{res}{space 2}-.0531508{col 33}{space 2} .0588578{col 44}{space 1}   -0.90{col 53}{space 3}0.367{col 61}{space 4}-.1686312{col 74}{space 3} .0623296
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} 4.435837{col 33}{space 2} .4244099{col 44}{space 1}   10.45{col 53}{space 3}0.000{col 61}{space 4} 3.603135{col 74}{space 3} 5.268539
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}      Region{col 14}{c |}{space 1}        4{col 27}{space 1}        0{col 39}{result}{space 1}        4{col 53}{text} {col 54}{c |}
{res}{col 1}{text}   Age_Group{col 14}{c |}{space 1}        8{col 27}{space 1}        1{col 39}{result}{space 1}        7{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}
{txt}added macro:
                e(reg) : "{res:Yes}"

added macro:
                e(age) : "{res:Yes}"
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 5 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}     1,161
{txt}Absorbing 2 HDFE groups{col 51}F({res}   8{txt},{res}   1142{txt}){col 67}= {res}      8.38
{txt}{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.0615
{txt}{col 51}Adj R-squared{col 67}= {res}    0.0467
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0554
{txt}{col 51}Root MSE{col 67}= {res}    1.8422

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}Protest_Rightfuln~s{col 21}{c |} Coefficient{col 33}  Std. err.{col 45}      t{col 53}   P>|t|{col 61}     [95% con{col 74}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}soft_soft {c |}{col 21}{res}{space 2} .1862652{col 33}{space 2} .1090418{col 44}{space 1}    1.71{col 53}{space 3}0.088{col 61}{space 4}-.0276795{col 74}{space 3} .4002098
{txt}{space 13}Gender {c |}{col 21}{res}{space 2}-.3724082{col 33}{space 2}  .113227{col 44}{space 1}   -3.29{col 53}{space 3}0.001{col 61}{space 4}-.5945644{col 74}{space 3}-.1502519
{txt}{space 10}Education {c |}{col 21}{res}{space 2} .0940416{col 33}{space 2} .0899456{col 44}{space 1}    1.05{col 53}{space 3}0.296{col 61}{space 4}-.0824356{col 74}{space 3} .2705188
{txt}{space 13}Income {c |}{col 21}{res}{space 2} .2558681{col 33}{space 2} .0636883{col 44}{space 1}    4.02{col 53}{space 3}0.000{col 61}{space 4} .1309089{col 74}{space 3} .3808274
{txt}{space 8}PartyMember {c |}{col 21}{res}{space 2}-.1919899{col 33}{space 2} .1714866{col 44}{space 1}   -1.12{col 53}{space 3}0.263{col 61}{space 4} -.528454{col 74}{space 3} .1444742
{txt}{space 7}Pol_Interest {c |}{col 21}{res}{space 2}-.0868561{col 33}{space 2} .0505912{col 44}{space 1}   -1.72{col 53}{space 3}0.086{col 61}{space 4}-.1861183{col 74}{space 3} .0124061
{txt}{space 7}Social_Media {c |}{col 21}{res}{space 2}-.1425093{col 33}{space 2} .0593548{col 44}{space 1}   -2.40{col 53}{space 3}0.017{col 61}{space 4} -.258966{col 74}{space 3}-.0260525
{txt}Pro_Market_Ideology {c |}{col 21}{res}{space 2}-.1655106{col 33}{space 2} .0575693{col 44}{space 1}   -2.87{col 53}{space 3}0.004{col 61}{space 4}-.2784641{col 74}{space 3}-.0525572
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} 4.732344{col 33}{space 2} .4574562{col 44}{space 1}   10.34{col 53}{space 3}0.000{col 61}{space 4} 3.834796{col 74}{space 3} 5.629893
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}      Region{col 14}{c |}{space 1}        4{col 27}{space 1}        0{col 39}{result}{space 1}        4{col 53}{text} {col 54}{c |}
{res}{col 1}{text}   Age_Group{col 14}{c |}{space 1}        8{col 27}{space 1}        1{col 39}{result}{space 1}        7{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}
{txt}added macro:
                e(reg) : "{res:Yes}"

added macro:
                e(age) : "{res:Yes}"

{com}. esttab using TableC4.tex, se(3) b(3) r2(3)label star(* 0.05) ///
> keep (_cons hard hard_hard soft soft_soft Gender Education Income PartyMember Pol_Interest Social_Media Pro_Market_Ideology) ///
>  varlabel(_cons "Constant" hard "Hard" hard_hard "Two-sided Hard" soft "Soft" soft_soft "Two-sided Soft") ///
>  stats(reg age N r2, labels( "Region FE"  "Age Group FE" "Observations" "R-squared") fmt(0 0 0 3)) /// 
> eqlabel(none) nomtitles mgroups("Willingness to Protest" "Protest Rightfulness", pattern(1 1)) replace
{res}{txt}{p 0 4 2}
(file {bf}
TableC4.tex{rm}
not found)
{p_end}
(output written to {browse  `"TableC4.tex"'})

{com}. 
. 
. 
{txt}end of do-file

{com}. log off
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/hongshen/Library/CloudStorage/OneDrive-LingnanUniversity/Documents/Tenure-Track/Working Paper/Propaganda Experiment/Replication/log.smcl
  {txt}log type:  {res}smcl
 {txt}paused on:  {res} 2 Feb 2025, 19:42:21
{txt}{.-}
{smcl}
{txt}{sf}{ul off}